A phase-transfer catalyst-based nanoreactor for accelerated hydrogen sulfide bio-imaging.
Panfei XingYiming NiuJiacheng LiDaping XieHuiqun ZhouJiaxi ChenLei DongChunming WangPublished in: Nanoscale (2021)
Hydrogen sulfide (H2S) is an important signaling molecule in various biological processes; however, its real-time monitoring in living cells is hampered by long detection time for current fluorescent probes. To overcome this challenge, we designed a phase-transfer catalyst (PTC) approach to accelerate the reaction between the probe and the analyte by conjugating common fluorescent probes - mostly hydrophobic small molecules - with an amphiphilic PEG-PPG-PEG polymer, enabling the controllable assembly of H2S nanoprobes in an aqueous solution. The PEG block helps to establish a PTC microenvironment that endows the assembled nanoprobes with a significantly reduced detection time (3-10 min; versus 20-60 min for small-molecule probes). Based on this approach, we synthesised two nanoprobes of different wavelengths, DS-Blue-nano and DN-Green-nano, which can sensitively detect H2S in living macrophage cells with bright fluorescence starting at as early as 7 min and reaching stability at 15 min. These data suggest PTC-based nanoprobes as a new and generic approach for constructing sensitive fluorescent probes for the real-time imaging of H2S, and perhaps other molecules in future, under biological conditions.
Keyphrases
- living cells
- fluorescence imaging
- fluorescent probe
- single molecule
- aqueous solution
- small molecule
- ionic liquid
- photodynamic therapy
- drug delivery
- high resolution
- room temperature
- induced apoptosis
- label free
- highly efficient
- loop mediated isothermal amplification
- stem cells
- reduced graphene oxide
- carbon dioxide
- adipose tissue
- real time pcr
- current status
- electronic health record
- big data
- machine learning
- electron transfer
- oxidative stress
- signaling pathway
- artificial intelligence
- gold nanoparticles
- cell proliferation
- endoplasmic reticulum stress
- deep learning
- protein protein